Prospective observational study of prevalence, assessment and treatment of pancreatic exocrine insufficiency (PEI) in patients with advanced pancreatic cancer (aPC): PanDA.
Notice bibliographique
Résumé
196 Background: PEI in patients with advanced pancreatic cancer is well documented, but there is a lack of consensus regarding optimal screening. Methods: Eligible patients for this observational study (NCT03616431) were those diagnosed with aPC referred for consideration of palliative therapy who consented to evaluation by a research dietitian. In addition to symptom and full dietetic assessment (including Mid-Upper Arm Circumference (MUAC), handgrip and stair climb test), full nutritional blood panel, faecal elastase (FE) and 13C mixed triglyceride breath test (for diagnostic cohort (DiC)) were performed. Primary objectives: prospective assessment of PEI prevalence (dietitian-assessed; demographic cohort (DeC)), and to design (using breath test as gold standard; DiC) and validate (follow-up cohort (FuC)) the most suitable screening tool for PEI in patients with aPC. Logistic and Cox regression were used for statistical analysis (Stat v.12). Results: Between 1st July 2018 and 30th October 2020, 112 eligible patients [50 (DeC), 25 (DiC), 37 (FuC)]. Prevalence of PEI in the DeC was 64.0% (PEI-related symptoms were flatus (84.0%), weight loss (84.0%), abdominal discomfort (50.0%) and steatorrhea (48.0%)); 70.0% of patients required pancreatic enzyme replacement therapy and 74.0% had anorexia (low appetite); 44.0% and 18.0% had low vitamin D and vitamin A levels, respectively. Designed PEI screening panel (DiC; 19 patients with breath test completed) included FE [normal/missing (0 points); low (1 point)] and MUAC [normal/missing ( > percentile 25 for age/gender) (0 points); low (2 points)] and identified patients at high-risk (2-3 total points) of PEI [vs. low-medium risk (0-1 total points)]. When patients from DeC and DiC) were analysed together, those classified as “high-risk of PEI” according to the screening panel had shorter overall survival (multivariable Hazard Ratio (mHR) 1.86 (95% CI 1.03-3.36); p-value 0.040) when adjusted for other prognostic factors, including presence of PEI symptoms (mHR 2.28 (95% CI 1.19-4.35); p-value 0.013). The screening panel was tested in the FuC; 78.38% were classified as patients at “high-risk of PEI”; of these, 89.6% were confirmed to have PEI by the dietitian. The panel was feasible for use in clinical practice, (64.8% of patients completed fully the assessments required) and acceptability was high (87.5% of patients would do it again). The majority of patients (91.3%) recommended that all future patients with aPC should have dietitian input. Conclusions: PEI is present in the majority of patients with aPC, and early dietetic input is important to provide a holistic nutritional overview, including, but not limited to, PEI. This proposed screening panel could be used to prioritise patients at higher risk of PEI requiring urgent dietitian input. Its prognostic role needs further validation. Clinical trial information: NCT03616431.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».